The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-05"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "18811953 (up from 18540789 yesterday: 1.46 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "707820 (up from 700736 yesterday: 1.01 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5257476

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.76



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 4823890 52810 1.11 1326043 158250 1449 0.92 3.28
Brazil 2859073 57152 2.04 892325 97256 1437 1.50 3.40
India 1964536 56282 2.95 995679 40699 904 2.27 2.07
Russia 864948 5186 0.60 119751 14465 138 0.96 1.67
South Africa 529877 8559 1.64 218828 9298 414 4.66 1.75
Mexico 456100 6139 1.36 138465 49698 829 1.70 10.90
Peru 447624 7734 1.76 109873 20228 221 1.10 4.52
Chile 364723 1761 0.49 43518 9792 47 0.48 2.68
Colombia 345714 10735 3.20 185816 11624 309 2.73 3.36
Iran 317483 2697 0.86 52922 17802 185 1.05 5.61
United Kingdom 308832 906 0.29 15363 46449 65 0.14 15.04
Spain 305767 2953 0.98 48273 28499 1 0.00 9.32
Saudi Arabia 282824 1368 0.49 42350 3020 36 1.21 1.07
Pakistan 281136 675 0.24 23222 6014 15 0.25 2.14
Italy 248803 384 0.15 5297 35181 10 0.03 14.14
Bangladesh 246674 2654 1.09 53084 3267 33 1.02 1.32
Turkey 236112 1178 0.50 20172 5784 19 0.33 2.45
France 228576 0 0.00 18008 30297 0 0.00 13.25
Argentina 220682 7147 3.35 109536 4106 127 3.19 1.86
Germany 214113 1285 0.60 13223 9179 16 0.17 4.29
Iraq 137556 2834 2.10 53689 5094 77 1.53 3.70
Canada 120033 374 0.31 9340 9010 5 0.06 7.51
Indonesia 116871 1815 1.58 36777 5452 64 1.19 4.66
Philippines 115980 3387 3.01 57130 2123 8 0.38 1.83
Qatar 111805 267 0.24 6822 178 1 0.56 0.16
Kazakhstan 95942 1060 1.12 30754 1058 0 0.00 1.10
Egypt 94875 123 0.13 10032 4930 18 0.37 5.20
Ecuador 88866 903 1.03 18537 5847 39 0.67 6.58
China 88328 122 0.14 3082 4677 1 0.02 5.30
Bolivia 85141 1780 2.14 32923 3385 65 1.96 3.98
Sweden 81540 359 0.44 5048 5760 13 0.23 7.06
Oman 80286 1127 1.42 19039 488 67 15.91 0.61
Israel 77919 1721 2.26 33731 565 4 0.71 0.73
Ukraine 77169 1289 1.70 20390 1813 25 1.40 2.35
Dominican Republic 75660 1365 1.84 27989 1222 9 0.74 1.62
Belgium 71158 510 0.72 8286 9859 7 0.07 13.86
Panama 70231 807 1.16 20988 1553 31 2.04 2.21
Kuwait 69425 651 0.95 12548 468 3 0.65 0.67
Belarus 68376 126 0.18 2933 577 3 0.52 0.84
United Arab Emirates 61606 254 0.41 5758 353 2 0.57 0.57
Netherlands 56750 471 0.84 5279 6173 3 0.05 10.88
Romania 56550 1309 2.37 22324 2521 41 1.65 4.46
Singapore 54254 908 1.70 7376 27 0 0.00 0.05
Guatemala 53509 1144 2.18 21435 2072 35 1.72 3.87
Portugal 51848 167 0.32 4422 1740 1 0.06 3.36
Poland 48789 640 1.33 10068 1756 18 1.04 3.60
Honduras 45098 799 1.80 15062 1423 23 1.64 3.16
Nigeria 44890 457 1.03 10631 927 17 1.87 2.07
Japan 42686 1339 3.24 19514 1028 5 0.49 2.41
Bahrain 42514 382 0.91 7954 154 3 1.99 0.36
Armenia 39586 288 0.73 6581 770 2 0.26 1.95
Ghana 39075 1263 3.34 13645 199 8 4.19 0.51
Kyrgyzstan 38110 569 1.52 25828 1438 11 0.77 3.77
Afghanistan 36829 47 0.13 1835 1294 6 0.47 3.51
Switzerland 35927 181 0.51 2779 1984 3 0.15 5.52
Azerbaijan 33103 193 0.59 7431 476 3 0.63 1.44
Algeria 33055 551 1.70 12285 1261 13 1.04 3.81
Morocco 28500 1283 4.71 12238 435 18 4.32 1.53
Uzbekistan 27793 746 2.76 13212 171 6 3.64 0.62
Serbia 27033 295 1.10 7699 614 9 1.49 2.27
Ireland 26303 50 0.19 620 1763 0 0.00 6.70
Moldova 26222 408 1.58 6182 823 13 1.60 3.14
Kenya 23873 671 2.89 12621 391 3 0.77 1.64
Venezuela 22299 861 4.02 11871 195 8 4.28 0.87
Austria 21566 85 0.40 2412 719 0 0.00 3.33
Nepal 21390 381 1.81 4213 60 2 3.45 0.28
Costa Rica 20417 580 2.92 11431 191 10 5.52 0.94
Ethiopia 20336 459 2.31 12155 356 13 3.79 1.75
Australia 19890 445 2.29 9080 255 8 3.24 1.28
El Salvador 18701 439 2.40 8056 498 12 2.47 2.66
Cameroon 17718 0 0.00 2545 391 0 0.00 2.21
Czechia 17529 243 1.41 4054 388 5 1.31 2.21
Cote d’Ivoire 16349 56 0.34 2946 103 0 0.00 0.63
Korea, South 14499 43 0.30 887 302 0 0.00 2.08
Denmark 14440 126 0.88 1147 616 0 0.00 4.27
Bosnia and Herzegovina 13138 282 2.19 5727 379 6 1.61 2.88
West Bank and Gaza 13065 295 2.31 6001 89 3 3.49 0.68
Bulgaria 12717 303 2.44 4840 424 9 2.17 3.33
Madagascar 12222 327 2.75 6617 127 4 3.25 1.04
Sudan 11780 0 0.00 1253 763 0 0.00 6.48
North Macedonia 11289 87 0.78 2759 511 6 1.19 4.53
Senegal 10538 106 1.02 2169 218 4 1.87 2.07

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 530606 3921 0.74 175721 9808 124 1.28 1.85 13428.91 248.23 1 in 74
Florida 502739 5409 1.09 200929 7627 225 3.04 1.52 23407.45 355.11 1 in 43
Texas 476999 10967 2.35 187162 7706 435 5.98 1.62 16450.58 265.76 1 in 61
New York 418225 636 0.15 14219 32754 29 0.09 7.83 21498.63 1683.70 1 in 47
Georgia 201713 3765 1.90 73875 3984 63 1.61 1.98 18998.30 375.23 1 in 53
Illinois 187752 1759 0.95 29927 7770 28 0.36 4.14 14816.50 613.17 1 in 67
New Jersey 183327 357 0.20 7049 15842 -15 -0.09 8.64 20639.84 1783.57 1 in 48
Arizona 182203 1698 0.94 50849 3932 87 2.26 2.16 23927.19 516.36 1 in 42
North Carolina 129733 1018 0.79 37896 2085 24 1.16 1.61 12369.56 198.80 1 in 81
Louisiana 125943 1482 1.19 41812 4096 45 1.11 3.25 27091.54 881.09 1 in 37
Pennsylvania 120446 722 0.60 18177 7254 6 0.08 6.02 9408.38 566.63 1 in 106
Massachusetts 119643 440 0.37 7296 8659 2 0.02 7.24 17216.05 1245.99 1 in 58
Tennessee 114098 1657 1.47 45037 1144 27 2.42 1.00 16697.66 167.42 1 in 60
Ohio 96305 1199 1.26 26994 3596 26 0.73 3.73 8238.87 307.64 1 in 121
South Carolina 95472 1282 1.36 33227 1894 47 2.54 1.98 18542.88 367.86 1 in 54
Virginia 95049 798 0.85 21522 2274 30 1.34 2.39 11135.70 266.42 1 in 90
Alabama 94654 952 1.02 35587 1695 29 1.74 1.79 19304.59 345.69 1 in 52
Michigan 93893 718 0.77 14980 6478 7 0.11 6.90 9401.66 648.65 1 in 106
Maryland 92426 572 0.62 17410 3536 6 0.17 3.83 15287.94 584.88 1 in 65
Indiana 69975 720 1.04 16605 3007 11 0.37 4.30 10394.05 446.66 1 in 96
Mississippi 63444 1245 2.00 24877 1804 51 2.91 2.84 21317.48 606.15 1 in 47
Washington 60084 705 1.19 17038 1624 5 0.31 2.70 7890.33 213.27 1 in 127
Minnesota 57779 617 1.08 14037 1670 10 0.60 2.89 10245.17 296.12 1 in 98
Wisconsin 56940 884 1.58 18213 970 9 0.94 1.70 9779.42 166.60 1 in 102
Missouri 55614 1192 2.19 25557 1297 7 0.54 2.33 9061.45 211.33 1 in 110
Nevada 52828 649 1.24 22360 890 28 3.25 1.68 17151.08 288.95 1 in 58
Connecticut 50225 115 0.23 2589 4437 0 0.00 8.83 14087.22 1244.50 1 in 71
Colorado 48970 594 1.23 10833 1851 2 0.11 3.78 8503.60 321.42 1 in 118
Iowa 46836 605 1.31 10300 900 12 1.35 1.92 14844.68 285.26 1 in 67
Arkansas 46293 912 2.01 15996 508 18 3.67 1.10 15339.86 168.33 1 in 65
Utah 42328 421 1.00 11437 327 6 1.87 0.77 13202.92 102.00 1 in 76
Oklahoma 40564 1101 2.79 17750 583 17 3.00 1.44 10251.28 147.33 1 in 98
Kentucky 32741 544 1.69 12064 752 1 0.13 2.30 7328.42 168.32 1 in 136
Kansas 29256 474 1.65 8907 372 4 1.09 1.27 10042.17 127.69 1 in 100
Nebraska 27489 311 1.14 5510 340 8 2.41 1.24 14210.55 175.76 1 in 70
Idaho 22708 472 2.12 10259 217 7 3.33 0.96 12671.42 121.09 1 in 79
New Mexico 21566 226 1.06 5725 667 9 1.37 3.09 10285.05 318.10 1 in 97
Oregon 19978 279 1.42 6897 338 5 1.50 1.69 4736.66 80.14 1 in 211
Puerto Rico 19651 327 1.69 9272 246 9 3.80 1.25 6153.06 77.03 1 in 163
Rhode Island 19481 91 0.47 1841 1012 1 0.10 5.19 18389.39 955.29 1 in 54
Delaware 15296 159 1.05 2246 587 0 0.00 3.84 15708.12 602.82 1 in 64
District of Columbia 12443 45 0.36 1417 587 0 0.00 4.72 17630.91 831.74 1 in 57
South Dakota 9168 89 0.98 1516 137 1 0.74 1.49 10363.32 154.86 1 in 96
West Virginia 7162 103 1.46 2605 124 0 0.00 1.73 4007.50 69.38 1 in 250
North Dakota 7057 124 1.79 2492 108 1 0.93 1.53 9260.40 141.72 1 in 108
New Hampshire 6719 26 0.39 606 418 0 0.00 6.22 4941.49 307.42 1 in 202
Montana 4429 115 2.67 2333 65 1 1.56 1.47 4143.98 60.82 1 in 241
Maine 3994 17 0.43 416 124 1 0.81 3.10 2971.26 92.25 1 in 337
Alaska 3448 54 1.59 1817 25 0 0.00 0.73 4713.31 34.17 1 in 212
Wyoming 2923 39 1.35 938 27 0 0.00 0.92 5050.46 46.65 1 in 198
Hawaii 2763 172 6.64 1471 27 0 0.00 0.98 1951.45 19.07 1 in 512
Vermont 1436 5 0.35 118 57 0 0.00 3.97 2301.32 91.35 1 in 435

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 8409400 530606 6.31 2616124 175721 6.72 212830.34
2 Florida 3814884 502739 13.18 1078931 200929 18.62 177620.39
3 Texas 3908235 476999 12.20 1266036 187162 14.78 134785.87
4 New York 6226435 418225 6.72 1377910 14219 1.03 320066.59
5 Georgia 1695224 201713 11.90 540241 73875 13.67 159664.36
6 Illinois 2897344 187752 6.48 816611 29927 3.66 228644.64
7 New Jersey 2187018 183327 8.38 444671 7049 1.59 246225.09
8 Arizona 985542 182203 18.49 249580 50849 20.37 129422.96
9 North Carolina 1873668 129733 6.92 589031 37896 6.43 178647.31
10 Louisiana 1469867 125943 8.57 468667 41812 8.92 316182.43
11 Pennsylvania 1284725 120446 9.38 316076 18177 5.75 100353.55
12 Massachusetts 1259594 119643 9.50 270881 7296 2.69 181249.51
13 Tennessee 1612045 114098 7.08 514372 45037 8.76 235914.53
14 Ohio 1574613 96305 6.12 511990 26994 5.27 134707.80
15 South Carolina 748622 95472 12.75 222639 33227 14.92 145399.80
16 Virginia 1179756 95049 8.06 334774 21522 6.43 138217.25
17 Alabama 727460 94654 13.01 186411 35587 19.09 148364.79
18 Michigan 1980472 93893 4.74 612553 14980 2.45 198307.84
19 Maryland 982395 92426 9.41 302307 17410 5.76 162495.37
20 Indiana 792225 69975 8.83 205636 16605 8.07 117676.65
21 Mississippi 477822 63444 13.28 120965 24877 20.57 160550.43
22 Washington 1009486 60084 5.95 291252 17038 5.85 132567.33
23 Minnesota 887623 57779 6.51 97126 14037 14.45 157390.23
24 Wisconsin 1006094 56940 5.66 277598 18213 6.56 172796.12
25 Missouri 730574 55614 7.61 212627 25557 12.02 119035.86
26 Nevada 491117 52828 10.76 126692 22360 17.65 159445.50
27 Connecticut 848109 50225 5.92 244010 2589 1.06 237879.59
28 Colorado 555422 48970 8.82 145432 10833 7.45 96448.60
29 Iowa 496428 46836 9.43 109116 10300 9.44 157342.94
30 Arkansas 534811 46293 8.66 139035 15996 11.51 177217.37
31 Utah 550322 42328 7.69 118242 11437 9.67 171656.02
32 Oklahoma 664730 40564 6.10 217405 17750 8.16 167989.61
33 Kentucky 620822 32741 5.27 161635 12064 7.46 138958.69
34 Kansas 308718 29256 9.48 69344 8907 12.84 105967.98
35 Nebraska 287105 27489 9.57 67362 5510 8.18 148420.09
36 Idaho 191887 22708 11.83 57973 10259 17.70 107075.92
37 New Mexico 590825 21566 3.65 160819 5725 3.56 281770.71
38 Oregon 426802 19978 4.68 121346 6897 5.68 101192.18
40 Rhode Island 213535 19481 9.12 37660 1841 4.89 201569.63
41 Delaware 190700 15296 8.02 47312 2246 4.75 195838.01
42 District of Columbia 202825 12443 6.13 64881 1417 2.18 287389.71
43 South Dakota 116374 9168 7.88 22831 1516 6.64 131546.73
44 West Virginia 302594 7162 2.37 84690 2605 3.08 169316.79
45 North Dakota 162014 7057 4.36 35450 2492 7.03 212599.50
46 New Hampshire 165976 6719 4.05 28867 606 2.10 122067.12
47 Montana 183124 4429 2.42 59366 2333 3.93 171339.60
48 Maine 178245 3994 2.24 50314 416 0.83 132601.85
49 Alaska 257279 3448 1.34 101186 1817 1.80 351692.65
50 Wyoming 55714 2923 5.25 12800 938 7.33 96264.59
51 Hawaii 132526 2763 2.08 34969 1471 4.21 93600.27
52 Vermont 98990 1436 1.45 20632 118 0.57 158640.62

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 479779 21823 4.77 316375 65.94 146305 16792 650 4.03 3.50
Tamil Nadu 279144 10859 4.05 221087 79.20 53486 4571 222 5.10 1.64
Andhra Pradesh 196789 20456 11.60 112870 57.36 82166 1753 149 9.29 0.89
Karnataka 158254 12424 8.52 80281 50.73 75067 2897 193 7.14 1.83
Delhi 141531 2375 1.71 127124 89.82 10348 4059 26 0.64 2.87
Uttar Pradesh 108974 8664 8.64 63402 58.18 43654 1918 101 5.56 1.76
West Bengal 86754 5770 7.12 61023 70.34 23829 1902 117 6.55 2.19
Telangana 73050 4104 5.95 52103 71.33 20358 589 26 4.62 0.81
Bihar 68148 6117 9.86 43820 64.30 23939 388 39 11.17 0.57
Gujarat 67811 2107 3.21 50524 74.51 14708 2579 50 1.98 3.80
Assam 52818 4656 9.67 37225 70.48 15464 126 11 9.57 0.24
Rajasthan 48996 2317 4.96 35131 71.70 13108 757 25 3.42 1.55
Odisha 40717 3036 8.06 26888 66.04 13549 280 22 8.53 0.69
Haryana 39303 1507 3.99 32640 83.05 6205 458 10 2.23 1.17
Madhya Pradesh 36564 1482 4.22 26902 73.58 8716 946 34 3.73 2.59
Kerala 30449 2493 8.92 18333 60.21 11983 98 10 11.36 0.32
Jammu and Kashmir 23454 1058 4.72 15708 66.97 7310 436 19 4.56 1.86
Punjab 20891 1876 9.87 13659 65.38 6715 517 55 11.90 2.47
Jharkhand 15756 1686 11.98 6594 41.85 9017 145 16 12.40 0.92
Chhattisgarh 11020 818 8.02 8088 73.39 2855 77 8 11.59 0.70
Uttarakhand 8623 615 7.68 5427 62.94 3056 102 7 7.37 1.18
Goa 7614 539 7.62 5453 71.62 2095 66 6 10.00 0.87
Tripura 5740 220 3.99 3793 66.08 1898 31 3 10.71 0.54
Puducherry 4621 474 11.43 2808 60.77 1743 70 12 20.69 1.51
Manipur 3217 199 6.59 1905 59.22 1304 8 1 14.29 0.25
Himachal Pradesh 3047 168 5.84 1865 61.21 1141 13 0 0.00 0.43
Nagaland 2580 175 7.28 819 31.74 1752 6 2 50.00 0.23
Arunachal Pradesh 1948 158 8.83 1245 63.91 700 3 0 0.00 0.15
Ladakh 1595 61 3.98 1177 73.79 411 7 0 0.00 0.44
Dadra and Nagar Haveli and Daman and Diu 1415 88 6.63 997 70.46 406 2 0 0.00 0.14
Chandigarh 1327 121 10.03 777 58.55 529 20 0 0.00 1.51
Andaman and Nicobar Islands 1123 195 21.01 355 31.61 752 16 4 33.33 1.42
Meghalaya 990 73 7.96 345 34.85 640 5 0 0.00 0.51
Sikkim 829 46 5.87 353 42.58 475 1 0 0.00 0.12
Mizoram 538 36 7.17 288 53.53 249 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1335383 96519 138 0.14 7.23 164 11 5823 16824 17.43
Piemonte 510732 31740 21 0.07 6.21 94 4 780 4134 13.02
Emilia-Romagna 694508 29897 47 0.16 4.30 73 4 1609 4291 14.35
Veneto 1269850 20294 41 0.20 1.60 33 6 1067 2077 10.23
Toscana 438634 10530 11 0.10 2.40 18 0 415 1137 10.80
Liguria 195342 10250 7 0.07 5.25 18 0 207 1568 15.30
Lazio 429548 8726 12 0.14 2.03 188 7 983 865 9.91
Marche 171452 6905 6 0.09 4.03 15 0 137 987 14.29
Campania 341031 5030 8 0.16 1.47 44 1 394 438 8.71
P.A. Trento 157412 4984 1 0.02 3.17 3 0 79 405 8.13
Puglia 249211 4678 23 0.49 1.88 24 0 152 553 11.82
Friuli Venezia Giulia 261538 3425 9 0.26 1.31 8 2 147 346 10.10
Abruzzo 132316 3420 19 0.56 2.58 19 1 140 472 13.80
Sicilia 286665 3339 21 0.63 1.16 34 4 314 284 8.51
P.A. Bolzano 109465 2745 5 0.18 2.51 8 0 116 292 10.64
Umbria 124855 1479 2 0.14 1.18 6 0 30 80 5.41
Sardegna 109882 1427 9 0.63 1.30 5 0 53 134 9.39
Calabria 124526 1274 2 0.16 1.02 6 1 101 97 7.61
Valle d’Aosta 21983 1209 0 0.00 5.50 1 0 12 146 12.08
Molise 28501 478 1 0.21 1.68 1 0 34 23 4.81
Basilicata 48206 454 1 0.22 0.94 2 0 53 28 6.17

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 60000 155 0.26 5687 2 0.04 9.48 7027.68 666.11 1 in 142
Ontario 41560 65 0.16 2829 1 0.04 6.81 2824.94 192.29 1 in 354
Alberta 11240 94 0.84 203 2 1.00 1.81 2546.94 46.00 1 in 393
British Columbia 3834 47 1.24 195 0 0.00 5.09 750.16 38.15 1 in 1333
Saskatchewan 1376 8 0.58 18 0 0.00 1.31 1164.46 15.23 1 in 859
Nova Scotia 1071 0 0.00 64 0 0.00 5.98 1095.70 65.48 1 in 913
Manitoba 444 1 0.23 8 0 0.00 1.80 322.32 5.81 1 in 3103
Newfoundland and Labrador 266 0 0.00 3 0 0.00 1.13 510.20 5.75 1 in 1960
New Brunswick 174 4 2.35 2 0 0.00 1.15 223.08 2.56 1 in 4483
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 14 0 0.00 0 0 NaN 0.00 340.82 0.00 1 in 2934
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68138 4512 6.62
Hong Kong 3754 43 1.15
Guangdong 1687 8 0.47
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Beijing 934 9 0.96
Jiangxi 932 1 0.11
Shandong 805 7 0.87
Xinjiang 773 3 0.39
Shanghai 757 7 0.92
Jiangsu 658 0 0.00
Sichuan 610 3 0.49
Chongqing 583 6 1.03
Fujian 367 1 0.27
Hebei 349 6 1.72
Shaanxi 328 3 0.91
Inner Mongolia 258 1 0.39
Liaoning 258 2 0.78
Guangxi 255 2 0.78
Tianjin 205 3 1.46
Shanxi 201 0 0.00
Yunnan 191 2 1.05
Hainan 171 6 3.51
Gansu 167 2 1.20
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 14742.94 483.65 1 in 68
Brazil 13660.17 464.67 1 in 73
India 1467.17 30.40 1 in 682
Russia 5985.80 100.10 1 in 167
South Africa 9341.98 163.93 1 in 107
Mexico 3530.19 384.66 1 in 283
Peru 13914.33 628.78 1 in 72
Chile 20206.26 542.49 1 in 49
Colombia 7045.32 236.89 1 in 142
Iran 3911.82 219.34 1 in 256
United Kingdom 4648.28 699.11 1 in 215
Spain 6553.09 610.78 1 in 153
Saudi Arabia 8586.04 91.68 1 in 116
Pakistan 1427.09 30.53 1 in 701
Italy 4113.81 581.70 1 in 243
Bangladesh NA NA 1 in NA
Turkey 2921.82 71.58 1 in 342
France 3412.09 452.26 1 in 293
Argentina 4984.91 92.75 1 in 201
Germany 2586.22 110.87 1 in 387

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 226581 23563 10.40
Los Angeles California 198165 4827 2.44
Miami-Dade Florida 125949 1775 1.41
Maricopa Arizona 123082 2204 1.79
Cook Illinois 108425 4909 4.53
Harris Texas 80914 1409 1.74
Broward Florida 59354 783 1.32
Dallas Texas 52639 726 1.38
Clark Nevada 45563 744 1.63
Suffolk New York 43553 1997 4.59
Nassau New York 43482 2194 5.05
Bexar Texas 41614 673 1.62
Riverside California 38487 738 1.92
Orange California 38131 665 1.74
Westchester New York 36075 1446 4.01
Palm Beach Florida 35283 882 2.50
San Bernardino California 34237 487 1.42
Hillsborough Florida 31197 377 1.21
Philadelphia Pennsylvania 30877 1695 5.49
San Diego California 30516 568 1.86
Orange Florida 30425 250 0.82
Tarrant Texas 30162 410 1.36
Wayne Michigan 27688 2809 10.15
Middlesex Massachusetts 26109 1989 7.62
Prince George’s Maryland 23156 746 3.22
Duval Florida 22215 164 0.74
Travis Texas 22024 287 1.30
Shelby Tennessee 21924 298 1.36
Suffolk Massachusetts 21579 1063 4.93
Mecklenburg North Carolina 21517 222 1.03
Kern California 21433 152 0.71
Bergen New Jersey 20639 2038 9.87
Milwaukee Wisconsin 20175 450 2.23
Salt Lake Utah 19875 185 0.93
Davidson Tennessee 19812 208 1.05
Essex New Jersey 19611 2105 10.73
Hudson New Jersey 19564 1502 7.68
Fulton Georgia 18996 407 2.14
Hidalgo Texas 18699 743 3.97
Gwinnett Georgia 18550 241 1.30
Hennepin Minnesota 18393 825 4.49
Montgomery Maryland 17976 794 4.42
Fairfield Connecticut 17912 1408 7.86
Middlesex New Jersey 17798 1400 7.87
Franklin Ohio 17619 517 2.93
Essex Massachusetts 17571 1186 6.75
Passaic New Jersey 17550 1239 7.06
Pinellas Florida 17202 467 2.71
Pima Arizona 16964 469 2.76
Union New Jersey 16605 1347 8.11
Fairfax Virginia 16019 530 3.31
Lee Florida 15961 317 1.99
Fresno California 15945 157 0.98
King Washington 15865 659 4.15
Cameron Texas 15564 394 2.53
El Paso Texas 15427 280 1.81
Out of GA Georgia 15318 85 0.55
Marion Indiana 15152 724 4.78
Providence Rhode Island 15047 0 0.00
Oakland Michigan 15030 1127 7.50
Jefferson Louisiana 14914 520 3.49
St. Louis Missouri 14074 652 4.63
Rockland New York 13903 674 4.85
Worcester Massachusetts 13497 993 7.36
Polk Florida 13419 298 2.22
Nueces Texas 13321 217 1.63
New Haven Connecticut 13118 1104 8.42
Cuyahoga Ohio 13011 487 3.74
DeKalb Georgia 12998 231 1.78
Hartford Connecticut 12733 1412 11.09
Baltimore Maryland 12666 555 4.38
Cobb Georgia 12489 310 2.48
District of Columbia District of Columbia 12443 587 4.72
Lake Illinois 12315 443 3.60
Jefferson Alabama 12186 230 1.89
Alameda California 12136 193 1.59
San Joaquin California 12034 187 1.55
Baltimore City Maryland 11953 421 3.52
Charleston South Carolina 11926 182 1.53
DuPage Illinois 11804 515 4.36
East Baton Rouge Louisiana 11590 332 2.86
Wake North Carolina 11425 137 1.20
Yuma Arizona 11314 276 2.44
Orange New York 11113 491 4.42
Santa Clara California 11030 192 1.74
Douglas Nebraska 10875 131 1.20
Orleans Louisiana 10526 560 5.32
Ocean New Jersey 10520 1016 9.66
Greenville South Carolina 10495 198 1.89
Norfolk Massachusetts 10488 991 9.45
Monmouth New Jersey 10192 856 8.40
Sacramento California 10174 148 1.45
Yakima Washington 10142 210 2.07
Tulare California 10078 193 1.92
Collier Florida 10050 129 1.28
Denver Colorado 9968 412 4.13
Montgomery Pennsylvania 9952 853 8.57
Oklahoma Oklahoma 9950 107 1.08
Macomb Michigan 9932 937 9.43
Polk Iowa 9874 204 2.07

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc